adding pixels of each binary image in time series

 I have time series of classified binary images with same number of rows and columns, I would like to add the values for each cell (eg. (1,1)) of every image. then divide addition for a cell with number of images to get percentage.

 

idea is to get the percentage for each cell in this time series 1.tif, 2.tif,......10.tif

 

then plot this percentage for each cell on a 3D graph with varying colors.

 

hints or suggestions will be helpful.

 

 NOTE:-

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Inside the loop over images,

 

if k == 1
  % It's the first image.  Create the sum image.
  sumImage = double(binaryImage);
else
  % It's the second or later.  Add it.
  sumImage = sumImage + double(binaryImage);
end

Then after the loop divide sumImage by the number of images to get the percentage image.

percentageImage = 100 * sumImage / numberOfImages;
imshow(percentageImage, []); % Display scaled to 0-255 with the [] option.

 

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